Partnerships for Innovation: Building Innovation Capacity (PFI:BIC) supports academe-industry partnerships, which are led by an interdisciplinary academic research team collaborating with at least one industry partner in order to carry out research to advance, adapt, and integrate technology(ies) into a specified, human-centered smart service system. The selected service system should function as a technology test bed.
Partnership projects are unrestricted as to domain knowledge and application areas and should be in the translational, pre-commercialization space, building on fundamental research discoveries with the objective of creating or transforming a "smart(er)" service system that has the potential for significant social and economic impact.

Help create a sustainable, competitive, and healthy US food system. Use USDA data to create working, interactive applications to get farmers the information they need - and help feed America.
What to Create: Submit a working, interactive application that integrates one or more of the required USDA datasets.
Static data visualizations will not be eligible. Applications must include interactive functionality (e.g. the user can change parameters to update the visualization and/or result).
Eligible Platforms:
Smartphone or tablet (iOS, Android, Blackberry, Kindle, Windows 8 Mobile)
Web (mobile or desktop)
Desktop (Windows PC, Mac Desktop)
Software running on other publicly available hardware (including, but not exclusive to, wearable technology, open source hardware, etc.)
Supplemental Material: You must submit a demo video (hosted on YouTube, Vimeo, or Youku) that walks through the main functionality of the application via screencast or video. You must also submit a text description and at least one image/screenshot of your working application.
Testing: You must make your app available for testing by providing a link to access your installation file, an uploaded installation file, a beta distribution build, etc. See full testing access options.
New & Existing Solutions: Apps may be newly created or pre-existing. If the submitted app existed prior to the competition's submission start date, it must have been updated to integrate the required USDA data during the submission period.

The Square Kilometre Array, in conjunction with Amazon Web Services (AWS), is pleased to issue this call for proposals for grants to use AWS for radio astronomy data reduction or tools and techniques development.
AWS has made a significant tranche of AWS Services credits available each year, for two years for this purpose, and will host up to 1 Petabyte of radio astronomy datasets as a public resource open to grant recipients and the community in general.

Researchers in all fields of science and engineering are being challenged in two key directions. The first challenge is to push beyond the current boundaries of knowledge to provide ever-deeper insights through fundamental disciplinary research by addressing increasingly complex questions, which often requires extremely sophisticated integration of theoretical, experimental, observational and simulation and modeling results. These efforts, which have relied heavily on observing platforms and other data collection efforts, computing facilities, software, advanced networking, analytics, visualization and models have led to important breakthroughs in all areas of science and engineering and represent a very strong bottom-up approach to the necessary research infrastructure.
The second, and more extensive challenge, is to synthesize these fundamental ground breaking efforts across multiple fields to transform scientific research into an endeavor that integrates the deep knowledge and research capabilities developed within the universities, industry and government labs. Individuals, teams and communities need to be able work together; likewise, instruments, facilities (including MREFCs), datasets, and cyber-services must be integrated from the group to campus to national scale. One can imagine secure, geographically distributed infrastructure components including advanced computing facilities, scientific instruments, software environments, advanced networks, data storage capabilities, and the critically important human capital and expertise. Greater understanding is also needed of how scientific and research communities will evolve in the presence of new cyberinfrastructure.

The BIGDATA program seeks novel approaches in computer science, statistics, computational science, and mathematics, along with innovative applications in domain science, including social and behavioral sciences, geosciences, education, biology, the physical sciences, and engineering that lead towards the further development of the interdisciplinary field of data science. The solicitation invites two types of proposals: "Foundations" (F): those developing or studying fundamental theories, techniques, methodologies, technologies of broad applicability to Big Data problems; and "Innovative Applications" (IA): those developing techniques, methodologies and technologies of key importance to a Big Data problem directly impacting at least one specific application. Therefore, projects in this category must be collaborative, involving researchers from domain disciplines and one or more methodological disciplines, e.g., computer science, statistics, mathematics, simulation and modeling, etc. While Innovative Applications (IA) proposals may address critical big data challenges within a specific domain, a high level of innovation is expected in all proposals and proposals should, in general, strive to provide solutions with potential for a broader impact on data science and its applications. IA proposals may focus on novel theoretical analysis and/or on experimental evaluation of techniques and methodologies within a specific domain. Proposals in all areas of sciences and engineering covered by participating directorates at NSF are welcome.

The advancement of sensing technology such as RGBD (Red Green Blue Depth), multi-camera and light field imaging systems, networks of sensors, advanced visual analytics and cloud computing will challenge the longstanding paradigms of capturing, creating, analyzing and utilizing visual information. Advances in Visual and Experiential Computing (VEC) will enable capability, adaptability, scalability, and usability that will far exceed the simple information systems of today. VEC technology will transform the way people interact with visual information through, for example, the realization of new mobile and wearable devices and the emergence of autonomous machines and semantically aware spaces. VEC research will drive innovation and competition in many industrial sectors as well as enhance the quality of life for ordinary people. Fast growing visual data has become a bottleneck in human decision processes in several emergent situations. New VEC technology is crucial to extracting information from complex visual and related data sets, combining this information with intuitive modes of human perception, and generating actionable information. The goal of this joint solicitation between NSF and Intel is to foster novel, transformative, multidisciplinary approaches that promote research in VEC technologies, taking into consideration the various challenges present in this field. This solicitation aims to foster a research community committed to advancing research and education at the confluence of VEC technologies, and to transitioning its findings into practice. NSF and Intel will support three types of projects, each three years in duration: Small projects with funding from $500,000 to $1,000,000 per project; Medium projects with funding from $1,000,001 to $2,000,000 per project; and Large projects with funding from $2,000,001 to $3,000,000.?? It is intended that NSF and Intel will cofund each project in equal amounts. This NSF/Intel partnership combines CISE??s experience

The scope is science and technology development, experimentation, and demonstration in the areas of improving and personalizing individual, team, and larger instructional training methods to include the following:
- Competency definition and requirements analysis
- Measuring, diagnosing, and modeling human expertise and performance
- Rapid development of models of human cognition
- Specifying and validating, both empirically and practically, new classes of synthetic, computer-generated agents and teammates
- Training and rehearsal strategies and models
- Environments that support learning and proficiency achievement and sustainment during non-practice or under novel contexts

Algorithms in the Field encourages closer collaboration between two groups of researchers: (i) theoretical computer science researchers, who focus on the design and analysis of provably efficient and provably accurate algorithms for various computational models; and (ii) applied researchers including a combination of systems and domain experts (very broadly construed - including but not limited to researchers in computer architecture, programming languages and systems, computer networks, cyber-physical systems, cyber-human systems, machine learning, database and data analytics, etc.) who focus on the particular design constraints of applications and/or computing devices. Each proposal must have at least one co-PI interested in theoretical computer science and one interested in any of the other areas typically supported by CISE. Proposals are expected to address the dissemination of the algorithmic contributions and resulting applications, tools, languages, compilers, libraries, architectures, systems, data, etc.

With this Dear Colleague letter (DCL), the NSF is announcing its
intention to accept EArly-Concept Grants for Exploratory Research
(EAGER) proposals to support NSF researchers in participating in the
NIST GCTC teams, with the goal of pursuing novel research on effective
integration of networked computer systems and physical devices that
will have significant impact in meeting the challenges of the smart
city. Priority will be given to researchers who have previously
received funding from CPS, or who have related projects from other NSF
programs (e.g., Computer Systems Research (CSR), Energy, Power, Control
and Networks (EPCN), Secure and Trustworthy Cyberspace (SaTC),
including CAREER awardees), and who are members of, or are seeking to,
establish GCTC teams building upon the results of NSF-funded projects.

With this Dear Colleague letter (DCL), the NSF is announcing its intention to accept EArly-Concept Grants for Exploratory Research (EAGER) proposals to support NSF researchers in participating in the NIST GCTC teams, with the goal of pursuing novel research on effective integration of networked computer systems and physical devices that will have significant impact in meeting the challenges of the smart city. Priority will be given to researchers who have previously received funding from CPS, or who have related projects from other NSF programs (e.g., Computer Systems Research (CSR), Energy, Power, Control and Networks (EPCN), Secure and Trustworthy Cyberspace (SaTC), including CAREER awardees), and who are members of, or are seeking to, establish GCTC teams building upon the results of NSF-funded projects.

NSF is interested in supporting activities by the NSF Cyberinfrastructure community in the analysis of existing benchmarks, and in the development of new benchmarks, that measure real-world performance and effectiveness of large-scale computing systems for science and engineering discovery.

The National Science Foundation is announcing its intentions to build
upon the success of previous Early Concept Grants for Exploratory
Research (EAGERs) in the area supported by the Secure and Trustworthy
Cyberspace (SaTC) program (see solicitation 14-599:
[1]http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf14599) and
to accept additional EAGER proposals that encourage novel
interdisciplinary research resulting from new collaborations between
one or more Computer and Information Science and Engineering (CISE)
researchers and one or more Social, Behavioral and Economic Science
(SBE) researchers. (Research teams with a history of collaborating
together should instead submit directly to the SaTC solicitation.) The
proposed research should fit both the Trustworthy Computing (TWC) and
the Social, Behavioral and Economic (SBE) Sciences perspectives within
the SaTC solicitation.

The NSF Engineering (ENG) Directorate is launching a multi-year initiative, the Professional Formation of Engineers, to create and support an innovative and inclusive engineering profession for the 21st Century. Professional Formation of Engineers (PFE) refers to the formal and informal processes and value systems by which people become engineers. It also includes the ethical responsibility of practicing engineers to sustain and grow the profession. The engineering profession must be responsive to national priorities, grand challenges, and dynamic workforce needs; it must be equally open and accessible to all.

The United States-Israel Collaboration in Computer Science (USICCS) program is a joint program of NSF and the United States - Israel Binational Science Foundation (BSF). The program supports research projects that develop new knowledge in the areas of theory of computing; algorithm design and analysis; design, verification, and evaluation of software systems; and revolutionary computing models based on emerging scientific ideas.

US Ignite is an Administration initiative seeking to promote US leadership in the development and deployment of next-generation gigabit applications with the potential for significant societal impact. The primary goal of US Ignite is to break a fundamental deadlock: there is insufficient investment in gigabit applications that can take advantage of advanced network infrastructure because such infrastructure is rare and dispersed. And conversely, there is a lack of broad availability of advanced broadband infrastructure for open experimentation and innovation because there are few advanced applications and services to justify it. US Ignite aims to break this deadlock by providing incentives for imagining, prototyping, and developing public sector gigabit applications, and by leveraging and extending this network testbed across US college/university campuses and cities.

Through its CISE Research Infrastructure (CRI) program (NSF 14-593 - http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf14593), the NSF Directorate for Computer and Information Science and Engineering (CISE) supports world-class research infrastructure enabling focused research agendas in computer and information science and engineering. The CRI program funds both the creation of new infrastructure as well as the enhancement of existing infrastructure.

The Major Research Instrumentation Program (MRI) serves to increase access to shared scientific and engineering instruments for research and research training in our Nation's institutions of higher education, not-for-profit museums, science centers and scientific/engineering research organizations. The program provides organizations with opportunities to acquire major instrumentation that supports the research and research training goals of the organization and that may be used by other researchers regionally or nationally.
Each MRI proposal may request support for the acquisition (Track 1) or development (Track 2) of a single research instrument for shared inter- and/or intra-organizational use. Development efforts that leverage the strengths of private sector partners to build instrument development capacity at MRI submission-eligible organizations are encouraged.

The goal of the National Robotics Initiative is to accelerate the development and use of robots in the United States that work beside, or cooperatively with, people. Innovative robotics research and applications emphasizing the realization of such co-robots acting in direct support of and in a symbiotic relationship with human partners is supported by multiple agencies of the federal government including the National Science Foundation (NSF), the National Aeronautics and Space Administration (NASA), the National Institutes of Health (NIH), and the U.S. Department of Agriculture (USDA). The purpose of this program is the development of this next generation of robotics, to advance the capability and usability of such systems and artifacts, and to encourage existing and new communities to focus on innovative application areas. It will address the entire life cycle from fundamental research and development to manufacturing and deployment.

The Council on Undergraduate Research (CUR) is pleased to offer a limited number of conference grants. These grants will be used to subsidize the cost of attendance for individuals to attend either CUR Dialogues 2015: Climbing the Ladder to Funding Success: Diverse Sources, Diverse Pathways or Undergraduate Research Programs: Building, Enhancing, Sustaining.
Nominees are asked to provide contact and demographic information, a statement of expenses, a statement describing financial need, and a statement on expected outcomes from attending the conference. Historically under-represented groups and first-time attendees will be given priority. The review committee will work to ensure awardees represent a diverse subset of the applicants, specifically across discipline/CUR Division and geographic location.
Awardees will receive the conference grant as a rebate after their confirmed participation in the conference, and the submission of reimbursement paperwork.